$100 million committed to university by a group of philanthropists led by Andy Konwinski
The University of Wisconsin–Madison has received a $100 million philanthropic commitment to launch its new College of Computing and Artificial Intelligence, a first-of-its-kind academic unit on campus that reflects years of alumni loyalty, tech-sector success, and long-term belief in the institution’s public mission.
While the university has framed the announcement in terms of academic expansion, the story behind the money is very much a story about the donors, led by Andy Konwinski —and an emerging “Catalyst Collective” of alumni, industry leaders, and corporate partners whose lives and careers have been shaped by UW–Madison and who are now intent on shaping the university’s role in the age of artificial intelligence.
Andy Konwinski’s career path is a remarkable blend of deep academic research, open-source innovation, and rapid entrepreneurial leaps.
Born in rural Wisconsin to a Jehovah’s Witnesses family, he earned a bachelor’s in computer science from UW–Madison before heading to UC Berkeley for his PhD, where he contributed to Apache Hadoop, co-created Apache Mesos, and played a key role in developing Apache Spark.
In 2013, he co-founded Databricks to commercialize Spark, growing it into a data and AI powerhouse (valued at over $100 billion) while serving as VP of Product for AI/ML and building major initiatives like the Data + AI Summit.
He stepped back from day-to-day operations around 2019, only to co-found Perplexity AI in 2022 as an early investor and president, helping turn the AI-powered search engine into a multi-billion-dollar company.
More recently, he’s launched Laude Ventures (a seed fund for academic startups) and the Laude Institute (a nonprofit funding ambitious AI research), while teaching a “Research to Startups” seminar at Berkeley.
What makes his trajectory striking is the seamless, almost accelerated flow from grad-school open-source projects to founding multiple transformative companies and now infrastructure for the next wave—rarely do researchers scale ideas so successfully across big data, AI search, and venture philanthropy in such a short span.
At the heart of this new donor cohort are UW graduates who built transformative companies in cloud computing, data infrastructure, and AI, and who see Madison not just as their alma mater but as a platform to scale opportunity far beyond the coasts that originally powered their careers.
Among the lead alumni donors is Andy Konwinski, a cofounder of Databricks and Perplexity AI, whose trajectory—from a Wisconsin undergraduate to a central figure in the modern data and AI stack—encapsulates the kind of long-arc, tech-enabled success story that the new college aims to replicate.
Konwinski and his peers are not simply making a symbolic return to campus; they are underwriting an infrastructure that they believe their younger selves would have benefited from, and that future Wisconsin students will need to compete in a world where AI suffuses nearly every profession.
The Catalyst Collective itself is structured less as a single headline-making benefactor and more as a philanthropic syndicate, bringing together individual alumni, industry leaders and corporate partners in a coordinated push to give UW–Madison a decisive early advantage in AI.
The group’s 100 million dollar commitment is specifically framed as “seed philanthropy,” an initial burst of private capital designed to help the college move quickly on strategic hires, research capacity, and program design, while the university’s own budget provides a longer-term foundation. For donors, this structure is appealing: it creates leverage, signaling to campus leadership and public funders that the private sector is prepared to move at the speed of technological change—and wants the university to do the same.
For many of the alumni involved, this gift is a continuation of a long tradition of Wisconsin graduates using their post-campus influence to lift the institution’s scientific ambitions. Philanthropists John and Tashia Morgridge, for example, have previously made multiple nine-figure commitments to UW–Madison, including a 100 million gift in 2014 to endow faculty positions across the university and earlier support to establish the Morgridge Institute for Research.
Those earlier gifts helped build the research and talent base that, in turn, made Madison an attractive home for a large-scale AI initiative; more recently, Morgridge has also been a lead donor behind Morgridge Hall, a major new facility associated with computing and AI, underscoring how sustained, multi-decade giving can culminate in transformative academic structures.
That sense of continuity—of one generation of donors creating the conditions for the next—is a theme the current group of AI-focused benefactors appears eager to extend. Several donors have spoken publicly in recent years about the responsibility they feel to ensure that students from Wisconsin and the broader Midwest can access the same cutting-edge tools, research and entrepreneurial ecosystems that fueled their own careers in Silicon Valley and beyond.
In backing a college rather than a single lab or program, they are betting on institutional permanence: that today’s AI techniques will evolve, but that a durable, interdisciplinary home for computing and data-intensive inquiry will keep UW–Madison relevant across multiple waves of technological disruption.
The timing of the commitment reflects both strategic patience and a keen sense of urgency. UW–Madison’s Board of Regents approved the proposal to create the College of Computing and Artificial Intelligence in late 2025, building on the success of the School of Computer, Data & Information Sciences that had already seen surging enrollments and research activity.
Within months, Chancellor Jennifer Mnookin announced not only the new college but also the $100 million philanthropic investment, positioning private donors as early co-architects of the institution’s future at the moment its governance structure shifts. That choreography—regental approval followed by concentrated philanthropic action—signals a donor community that has been closely engaged with campus leadership and ready to move once the university commits structurally to an AI-focused college.
The donors’ ambitions extend well beyond shiny buildings and a handful of marquee professorships. The philanthropic support is explicitly tied to 50 new faculty positions, many of which will carry joint appointments that embed AI expertise in disciplines ranging from the social sciences and humanities to engineering, business and the life sciences.
For the Catalyst Collective, this cross-campus strategy is part of its appeal: it allows donors whose careers spanned multiple sectors—tech, finance, entrepreneurship—to back an AI model that is not isolated but woven into questions of ethics, public policy, labor, health, and artistic expression. In private conversations with peers and in public statements, these donors have increasingly framed AI not only as an engine of innovation, but as a force whose societal impact must be studied as rigorously as its technical underpinnings.
Many of the donors’ professional lives revolve around building and scaling platforms—cloud services, data infrastructure, AI models—that serve as the undercurrent for countless other businesses. Their philanthropy at UW–Madison mirrors that mindset. Rather than endowing a narrow niche, they are financing platforms: advanced computing infrastructure for research, new academic programs and degrees, and expanded capacity for interdisciplinary collaboration and industry partnerships.
That includes support for the kinds of “technology transfer” mechanisms that move discoveries from university labs into commercial environments, an area where donors with startup and venture backgrounds see enormous potential for Wisconsin’s economy.
There is also an explicitly regional dimension to the donors’ vision. Several have emphasized that Madison sits at a pivotal intersection: a flagship public university with global research ambitions, anchored in a state actively preparing its workforce for an AI-centered economy. In helping to accelerate the college’s launch, the philanthropic investors are effectively betting that world-class AI research and education need not be concentrated solely in traditional coastal hubs. Their dollars are underwriting a counter-narrative: that a Midwestern public institution, with deep roots in access and affordability, can be a magnet for AI talent and a driver of inclusive growth.
Behind the public announcements and ceremonial photos, donors in the Catalyst Collective are also shaping the college’s culture in subtler ways. Their careers, often defined by collaborative open-source projects, cross-company partnerships, and fast-evolving ecosystems, have impressed upon them the value of flexible, networked structures over rigid hierarchies.
It is no accident that the college is conceived as a hub connecting computer sciences, data science, statistics, and information disciplines, with a founding dean known for both scholarly distinction and extensive work in building large-scale computing systems. Donors who spent years navigating and building such systems are now, in effect, helping to architect a human institution built on similar principles of interoperability, modularity, and shared standards.
For UW–Madison, the 100 million dollar gift crystallizes a broader shift in how alumni and industry partners want to engage with the university. Whereas past eras of giving might have focused on naming rights or isolated capital projects, today’s donors are increasingly attracted to initiatives that promise measurable impact on talent pipelines, innovation capacity, and social outcomes.
In that sense, the College of Computing and Artificial Intelligence becomes both a philanthropic project and a long-term partnership: the university commits to reimagining its academic structure around AI, while donors commit to sustaining the momentum with capital, networks, and real-world problems for students and faculty to tackle.
The result is a new chapter in the university’s philanthropic history, one that builds on generations of generosity—from the earliest gifts recorded in the 19th century to the transformational Morgridge contributions of the last decade—and refracts it through the lens of AI.
The donors behind the $100 million commitment are not just writing a large check; they are effectively casting a vote for how public higher education should evolve in an era when algorithms and data are redefining every sector they helped build. In choosing to make UW–Madison the locus of that bet, they are also affirming something deeper and more personal: that the place where their own trajectories began is still, in their view, one of the most important places to invest in the future.